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Pedro A. Ortega

Research Scientist
Google DeepMind

This is Ludwig Boltzmann (no joke). Thanks Jordi!


I am a Research Scientist in the AI Safety Group at DeepMind. My research focuses on the formal principles of intelligent systems covering aspects such as learning, planning and decision making in both machines and biological organisms. My approach lies at the intersection between machine learning, computational neuroscience, theoretical economics, and physics.

Research Interests

Free Energy Functional (it's also meant to be a puzzling pic)

Most of my work centers on information-theoretic and statistical mechanical approaches to learning and control, leading to contributions in bounded rationality models and recasting adaptive control as a causal inference problem. I have also worked on causal induction, and on game- and decision-theoretic models in computational neuroscience.

To get a sense of my work, please refer to:

I was part of the former Tuebingen group on Sensorimotor Learning and Decision Making, where some of the now widespread ideas on Thompson sampling, causality, and thermodynamic methods for reinforcement learning have originated. Check out its members' sites:

Travel Schedule

Date Where Title
Jan 6-8, 2017 Pacific Grove, California Beneficial AI 2017
Jan 25, 2017 FHI, Oxford -

News (on Twitter)

Timeline of @AdaptiveAgents

AdaptiveAgents avatar

RT @dustinvtran: “Deep Probabilistic Programming” now on arXiv. Foundations of with deep learning apps
About 10 hours, 44 mins ago by: Pedro A. Ortega (@AdaptiveAgents)

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RT @mlittmancs: Obama: "economic dislocations" from automation require "new social compact" (education, safety nets, etc) @BrownHCRI https:…
About 3 days, 12 hours ago by: Pedro A. Ortega (@AdaptiveAgents)

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RT @NandoDF: Deep Learning Paper Implementations: Spatial Transformer Networks - Part I - tutorial on a great idea
About 3 days, 12 hours ago by: Pedro A. Ortega (@AdaptiveAgents)

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Does anybody know what "personhood" means in this context? "Give robots 'personhood' status, EU committee argues"…
About 3 days, 23 hours ago by: Pedro A. Ortega (@AdaptiveAgents)

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@gwern For search, you can e.g. maximize information gain or minimize the amount of information needed for identification (i.e. TS).
About 4 days ago by: Pedro A. Ortega (@AdaptiveAgents)


Pedro A. Ortega
Google UK
DeepMind 6th Floor
6 Pancras Square
London N1C 4AG

home.txt · Last modified: 2016/12/17 07:04 by peortega

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